Muni Venkatesh

Designed and developed end-to-end full-stack applications for credit, private credit, and structured financial products platforms using Python/.NET (C#) and React/TypeScript. Built scalable and secure RESTful APIs and backend services, supporting high-performance data processing and integration across enterprise systems. Developed modern, responsive front-end applications using React, JavaScript, HTML5, and CSS, ensuring seamless user experience across desktop and mobile devices. Engineered and maintained data pipelines for ingestion, transformation, and processing of portfolio positions, market data, and financial transactions. Integrated third-party systems such as Geneva (portfolio accounting), market data providers (Bloomberg, etc.), CRM platforms, and internal tools with robust reconciliation logic. Led migration of legacy .NET/C# and SSRS reporting systems to modern architectures using microservices, cloud platforms, and React-based UI frameworks. Owned data quality lifecycle including data ingestion, normalization, validation, reconciliation, and lineage tracking for firm-wide financial datasets. Developed business intelligence and reporting solutions including Tableau dashboards, investor reporting tools, and ad-hoc analytics for portfolio insights and DDQ responses. Collaborated directly with portfolio managers, risk analysts, operations, and investor relations teams to gather requirements and deliver business-aligned technical solutions. Translated complex business requirements into technical specifications, system designs, and UAT plans, ensuring successful delivery and stakeholder satisfaction. .

 Developed system-level utilities and performance-critical components using C language to handle large-scale transaction processing.  Developed and maintained Python-based full-stack applications using Django/Flask, React, and RESTful APIs.  Implemented ML-driven features such as recommendation engines, text classification, and similarity scoring using scikit-learn and NLP models.  Developed scalable backend services using Python, Flask, Django, and FastAPI to build secure, high-performance RESTful APIs for healthcare applications.  Designed and implemented REST APIs using JSON and documented them with Swagger (OpenAPI) for internal and third-party integrations.  Built dynamic and responsive frontend applications using React.js, Redux, JavaScript, and Material UI, ensuring seamless UX across healthcare platforms.  Ensured full compliance with HIPAA (Health Insurance Portability and Accountability Act) regulations by implementing secure handling of Protected Health Information (PHI).  Implemented role-based access control (RBAC), OAuth2/JWT authentication, encrypted data transmission (HTTPS/TLS), and data-at-rest encryption to safeguard sensitive patient records.  Applied HIPAA-compliant logging, auditing, and monitoring mechanisms using Elasticsearch, Logstash, and Kibana (ELK Stack).  Designed and optimized relational databases using MySQL and PostgreSQL, ensuring secure schema design and encrypted storage of sensitive healthcare data.  Developed modern React (18/19) applications using Hooks and Context API

Designed and implemented cloud-native solutions on AWS Cloud using Amazon EC2, AWS Lambda, Amazon S3, AWS Glue, Amazon Redshift, and Amazon CloudWatch to improve scalability, availability, and monitoring.  Led migration of legacy on-prem applications to AWS Cloud infrastructure, ensuring high availability, disaster recovery, and cost optimization.  Built microservices-based architecture integrating Python services with .NET systems and POS platforms using REST APIs and event-driven communication.  Developed and deployed real-time transaction processing systems using Apache Kafka and Apache Spark for fraud monitoring and risk analytics.  Implemented ETL pipelines using AWS Glue to process and transform large-scale banking datasets into Amazon Redshift for enterprise reporting and business intelligence.  Built predictive analytics and fraud detection models using TensorFlow and Scikit-Learn; deployed ML models as scalable APIs on EC2 and Lambda.  Designed, developed, and maintained data pipelines to support end-to-end loan lifecycle processes, including origination, underwriting, servicing, and collections.  Integrated and processed data from core banking systems, Loan Origination Systems (LOS), and Loan Management Systems (LMS) to ensure seamless data flow across platforms.  Collaborated with business stakeholders (credit analysts, risk teams, and operations) to understand lending requirements and translate them into technical solutions. ] .

Developed scalable backend services using Python, Django, Flask, and FastAPI for core banking and financial applications.  Designed and implemented RESTful APIs supporting high-volume transaction processing systems.  Built microservices-based architecture and deployed services using Docker and Kubernetes (AKS) on Azure Cloud.  Implemented asynchronous messaging systems using Kafka and RabbitMQ to handle real-time financial transactions and event-driven workflows.  Designed and optimized database schemas using PostgreSQL and MongoDB for high-performance data processing.  Integrated Elasticsearch for fast search capabilities across large banking datasets.  Developed serverless applications using Azure Functions for batch processing and scheduled banking jobs.  Deployed and managed applications in Azure using Azure App Services, Azure VMs, Azure Blob Storage, and Azure SQL Database.  Automated CI/CD pipelines using Jenkins and Azure DevOps for continuous integration and continuous delivery.  Containerized applications using Docker and orchestrated deployments using Azure Kubernetes Service (AKS).  Implemented Infrastructure as Code (IaC) using ARM templates and automated deployment scripts using Bash.  Monitored application performance and logs using Azure Monitor, Prometheus, Grafana, and Splunk.

Involved in building database Model, APIs and Views utilizing Python, in order to build an interactive web based solution  Developed and customized ActOne case management workflows, including alert review, investigation, escalation, and closure processes  Worked on AIS (Actimize Intelligence Server) for rule execution, alert generation, and integration with upstream/downstream systems  Utilized STAR platform for advanced analytics, reporting, and investigation support for compliance teams  Integrated Actimize with core banking systems and payment gateways using Java APIs, enabling real-time transaction monitoring  Developed Kafka-based event-driven pipelines for real-time trade alerts, fraud detection, and asynchronous processing.  Built large-scale Spring Batch workflows to execute nightly settlement and reconciliation jobs processing millions of records.  Led the migration of on-premises workloads to AWS EKS, leveraging Docker, Kubernetes, and Helm for scalable deployment.  Automated CI/CD pipelines using Jenkins and GitLab with integrated SonarQube, JUnit, and Selenium quality checks.  Implemented Redis caching strategies to optimize API performance and reduce response times significantly.  Tuned PostgreSQL and Oracle databases through indexing, partitioning, and advanced query optimisation.  Enhanced observability using Prometheus, Grafana, and Splunk, improving system monitoring and issue resolution.  Integrated multiple third-party APIs, including credit scoring, compliance, and risk assessment services.  Collaborated with QA to build BDD test suites with Cucumber, achieving high automation coverage and release efficiency.

• Worked on the project from gather requirement developing the entire application, with help from other analyst. • Participated in all phases of the SDLC, including requirement analysis, development, enhancements, • and Agile sprint activities. • Developed responsive user interfaces using JavaScript, jQuery, HTML5, CSS3, AJAX, and Bootstrap. • Implemented dynamic UI features such as auto complete and real-time updates using AJAX GET/POST • requests. • Built enterprise application components using Core Java, including OOP principles such as inheritance, • polymorphism, and collections. • Developed the application framework using Spring MVC and Hibernate, including controllers, • validators, and data access layers. • integrated OAuth 2.0 authentication to enable secure user access and centralized authorization. • Created and optimized SQL queries, stored procedures, and schema updates in the Oracle database • for new feature development. • Improved application stability by monitoring logs with Log4j and troubleshooting production defects. • Wrote comprehensive JUnit and Mockito-based test cases to ensure code reliability and maintain high • test coverage. • Built and deployed applications using Ant and Tomcat, leveraging GitHub for version control and • Jenkins for CI/CD automation